"Reading Microsoft OneDrive files" matching MCP servers:

Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.

MCP server for Muovi, Argentina's local services marketplace. Enables discovery of verified service professionals, browsing services and cities, reading reviews, and generating deep-links for task creation.

Enables reading and analysis of vector spatial data through Claude Desktop, supporting formats like FileGDB, Shapefile, GeoJSON, and GeoPackage with tools for layer listing, schema inspection, field statistics, feature extraction, and interactive map rendering.

An MCP server for querying land use plans and exporting cadastral maps as DXF files using VWorld Open API from the Korean Ministry of Land, Infrastructure and Transport.

Search and map declassified Pentagon UAP/UFO files from the PURSUE release.

Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.

Enables AI assistants to create animated travel route videos by describing a trip, planning a route, styling the animation, and rendering MP4 files locally. It supports multiple map styles, 3D vehicles, and real-road routing.

Enables DeepSeek Harness models to directly call local ArcGIS Pro via MCP tools for reading projects, layers, GDB structures, and executing Buffer/Clip/custom ArcPy operations locally.

Enables users to plan trips by searching nearby Park4night places and reading reviews through a local read-only MCP interface.

Converts raster and vector geospatial data into H3-indexed Parquet files and serves them via a local MCP server with DuckDB SQL querying.

MCP server that enables ChatGPT to read/write files, run commands, and perform offline investigation tasks (geo, forensics, OSINT) on the host machine, scoped to a workspace with OPSEC controls.

An advanced Model Context Protocol server that integrates real-time weather data, local file system navigation, and geographic information with AI-powered analysis tools. It enables users to perform complex data evaluations and manage files while accessing live climatic and demographic data through compatible MCP clients.

Enables downloading satellite imagery from Google Earth Engine as GeoTIFF files, supporting various datasets, bands, and region specification through natural language.

Enables AI agents to perform professional-grade geoprocessing tasks such as buffers, overlays, reprojections, and terrain analysis with deterministic tools and verifiable provenance.

An MCP server that tells an AI assistant what's on sale at grocery stores near any US ZIP code by reading weekly circulars and providing fast, queryable deal data.

An MCP server that provides offline access to ZIM file archives, including Wikipedia, medical knowledge, and maps. It dynamically exposes tools like search, article retrieval, and driving route planning based on available ZIM files.

Enables genealogical research against FamilySearch through read-only tools, resolving historical places as they existed at a given date, searching indexed records and collections, fetching the page images behind them, and reading the community-edited shared tree as leads rather than sources. It works anonymously for the gazetteer and catalogue, and uses your own registered application's access token for records, images, and tree access.

Enables an AI agent to list the incident categories of Gijón's municipal reporting system and file real service notices on a citizen's behalf, including generating one from a photo by reading its EXIF GPS and suggesting the matching category. Report creation is dry-run by default and only sends after explicit human confirmation, using a saved email as the contact identity and no credentials.

Enables LLMs to answer plain-English questions about Elite Dangerous grounded in local journal files and public galaxy data from EDDN, EDSM, Spansh, and Inara, including location, ship loadout, station searches, colonisation candidates, and cargo shopping lists.

Enables reading Tesla vehicle data from a TeslaMate PostgreSQL database, including status, trips, charging, efficiency, weather integration, and more, via 38 tools for MCP-compatible clients like Claude Code.